4 Ways Enterprises Are Deploying Voice AI: Takeaways and Trade-offs

Enterprises are moving fast on Voice AI, but the path from pilot to production, and beyond, is messier than the demos suggest. For Global 2000 companies, the decision goes beyond selecting a Voice AI platform. They're making foundational architectural decisions that will determine whether they can run one platform cleanly in production, or five platforms across business units without losing control. The ones getting it right are thinking three moves ahead: from POC, to production, to scale, where multiple AI voice agent platforms coexist on the same infrastructure.

Bandwidth works shoulder-to-shoulder with these enterprises and the CCaaS, CRM and Conversational AI platforms powering them, which means we have a front-row seat to what’s working and what isn’t.

In this session, John Bell will share the four distinct approaches enterprises are taking to launch production Voice AI workflows successfully, drawn directly from deployments at scale. For each, you'll walk away with a clear picture of the trade-offs, the failure modes worth watching for, and the architectural signals that should inform your own roadmap.

If you're building, buying, or advising on enterprise Voice AI infrastructure, this is the session for it.